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CVPR
2003
IEEE

Directional Histogram Model for Three-Dimensional Shape Similarity

14 years 4 months ago
Directional Histogram Model for Three-Dimensional Shape Similarity
In this paper, we propose a novel shape representation we call Directional Histogram Model (DHM). It captures the shape variation of an object and is invariant to scaling and rigid transforms. The DHM is computed by first extracting a directional distribution of thickness histogram signatures, which are translation invariant. We show how the extraction of the thickness histogram distribution can be accelerated using conventional graphics hardware. Orientation invariance is achieved by computing the spherical harmonic transform of this distribution. Extensive experiments show that the DHM is capable of high discrimination power and is robust to noise.
Xinguo Liu, Robin Sun, Sing Bing Kang, Heung-Yeung
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2003
Where CVPR
Authors Xinguo Liu, Robin Sun, Sing Bing Kang, Heung-Yeung Shum
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